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    Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation by Chen, Soong Der

    Published 2000
    “…A popular software-driven media processing's technology - MMXTM was studied for its application in 2-D 8x8 DCI. The above studies and reviews provide two proposals for improvements. …”
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    Thesis
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    Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller by Mohd Aziri, Muhammad Hasif

    Published 2020
    “…Several industrial applications use the induction motor because of its ruggedness, reliability and relatively low cost. …”
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    Control of direct multi- input multi-output (MIMO) using single-phase matrix converter (SPMC) topology / Mohd Shukri Mohd Ghazali by Mohd Ghazali, Mohd Shukri

    Published 2023
    “…There are numerous studies demonstrating the practical applications of power electronic converters. There are four types of converters, DC-DC, AC-AC, AC-DC, and DC-AC energy conversion. …”
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    The largest studentized residual test for bad data identification in state estimation of a power system by Khan, Z., Razali, R.B., Daud, H., Nor, N.M., Firuzabad, M.F.

    Published 2015
    “…A six-bus power system data is used for the application of LSR test for detecting and identifying the gross errors in the processed measurements. …”
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    Article
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    Precipitation trend analysis for The Langat River Basin, Selangor, Malaysia by Palizdan, Narges

    Published 2014
    “…The region AC2 experienced a significant positive trend using only the RAMK test. …”
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    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mohd Nazir, Mat Nawi, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…A response surface methodology approach was employed to develop the experimental design involving the first order model and the second order model of central composite design. Into training and testing, a back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with an average of 80% accuracy and 3.02 mean square error. …”
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